安全和不安全运行点数据集

本数据集由丹麦技术大学电气工程系创建，旨在为电力系统的数据驱动应用提供支持。数据集包含了电力系统安全和不安全的运行点，这些点是通过高效的计算方法生成的，考虑了电力系统安全性的挑战。数据集的创建过程涉及使用分离超平面来预先分类输入空间的大部分为不安全，从而显著减少了计算时间和问题规模。此外，该数据集还考虑了N-1安全和不确定性，适用于评估数据驱动的安全约束最优电力流和深度学习工具箱等应用。

This dataset was developed by the Department of Electrical Engineering, Technical University of Denmark, to support data-driven applications in power systems. It contains both secure and insecure operating points of power systems, which are generated through efficient computational methods that account for the inherent challenges of power system security. The dataset creation process utilizes separating hyperplanes to pre-classify the majority of the input space as insecure, thereby substantially reducing computational time and problem scale. Furthermore, this dataset incorporates N-1 security and uncertainty considerations, making it applicable for evaluating applications such as data-driven security-constrained optimal power flow and deep learning toolboxes.